An Asynchronous Federated Learning Arbitration Model for Low-Rate DDoS Attack Detection
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DOI: 10.1109/access.2023.3247512
Abstract: Low-rate Distributed Denial of Service (LDDoS) attacks have been one of the most notorious network security threats, which use periodic slight multi-variate time series pulse flows to degrade network quality. Limited by the poor data… read more here.
Keywords: learning arbitration; federated learning; low rate; attack detection ... See more keywords